5 citations · 7 across the 26 of their papers we have counts for
4 papers · 2 filters
Us-vs-Them bias in Large Language Models
Tabia Tanzin Prama, Julia Witte Zimmerman, Christopher M. Danforth +1
This study investigates ``us versus them'' bias, as described by Social Identity Theory, in large language models (LLMs) under both default and persona-conditioned settings across…
Misalignment of LLM-Generated Personas with Human Perceptions in Low-Resource Settings
Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds
Recent advances enable Large Language Models (LLMs) to generate AI personas, yet their lack of deep contextual, cultural, and emotional understanding poses a significant limitation…
Story and essential meaning dynamics in Bangladesh's July 2024 Student-People's Uprising
Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds
News media serves a crucial role in disseminating information and shaping public perception, especially during periods of political unrest. Using over 50,0000 YouTube comments on n…
BanglaMATH : A Bangla benchmark dataset for testing LLM mathematical reasoning at grades 6, 7, and 8
Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds
Large Language Models (LLMs) have tremendous potential to play a key role in supporting mathematical reasoning, with growing use in education and AI research. However, most existin…